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Vanishing Gradients

Hugo Bowne-Anderson

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A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll hav ...
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Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us for practical insights from the best to help you advance your career and make an impact in thes ...
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Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space.
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IBM thinkLeaders

IBM thinkLeaders

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thinkLeaders tells the stories behind AI and business transformation through engaging interviews with top entrepreneurs, technologists, and researchers at the forefront of disruption. Join host Amanda Thurston as she and her guests offer insights and advice on strategic, data-driven leadership, and innovation. It is a deep dive into emerging technologies that unpacks and explains the issues, having some fun along the way. Brought to you by IBM. This channel is managed by Serena Peters and Am ...
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As Season 9 of Catalog & Cocktails comes to a close, Tim and Juan reflect on the conversations, breakthroughs, and trends that shaped the past episodes. From rethinking data governance to building trust in your data, this recap dives into the standout moments, key lessons, and recurring themes from our incredible guests. Tune in for an honest, no-B…
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Roberto Medri, VP of Data Science at Instagram, explains why most experiments fail, how misaligned incentives warp product development, and what it takes to drive real impact with data science. He shares what teams get wrong about launches, why ego gets in the way of learning, and how Instagram turned Reels from a struggling product into a global s…
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If we want to make progress toward AGI, we need a clear definition of intelligence—and a way to measure it. In this episode, Hugo talks with Greg Kamradt, President of the ARC Prize Foundation, about ARC-AGI: a benchmark built on Francois Chollet’s definition of intelligence as “the efficiency at which you learn new things.” Unlike most evals that …
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Join Juan and Tim as they welcome special guest Rebecca O’Kill (CDAO of AXIS Capital) fresh from their panel at the Gartner Data & Analytics Summit 2025 in London. They'll have an Honest, No-BS discussion on making data catalog and governance work in the real world while sharing key themes and actionable insights from one of the year's most influen…
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Join Juan and Tim as they welcome special guest Rebecca O’Kill (CDAO of AXIS Capital) fresh from their panel at the Gartner Data & Analytics Summit 2025 in London. They'll have an Honest, No-BS discussion on making data catalog and governance work in the real world while sharing key themes and actionable insights from one of the year's most influen…
  continue reading
 
Fei-Fei Li—co-director of Stanford’s Human-Centered AI Institute and one of the most respected voices in the field—reflects on AI’s evolution from the early days of ImageNet to the rise of foundation models. She explains why spatial intelligence may be the next major shift, how human-centered design applies in practice, and why AI should be underst…
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Barr Moses, CEO & Co-Founder of Monte Carlo, challenges the notion that models alone create competitive advantage, arguing instead that the real moat lies in how organizations manage their proprietary data and ensure end-to-end reliability. Tim and Juan chat with Barr to get the Honest, No-BS scoop of what AI observability is (hint, it’s really dat…
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Barr Moses, CEO & Co-Founder of Monte Carlo, challenges the notion that models alone create competitive advantage, arguing instead that the real moat lies in how organizations manage their proprietary data and ensure end-to-end reliability. Tim and Juan chat with Barr to get the Honest, No-BS scoop of what AI observability is (hint, it’s really dat…
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Eoin O'Mahony—data science partner at Lightspeed, former Uber science lead, and one of the early architects of the system that kept NYC’s Citi Bikes available across the city—argues that positive metrics are meaningless if you don’t understand the mechanism behind them. At Uber, he was careful to make sure his launches both looked good on paper and…
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Data teams often emerge from executive FOMO – chasing AI trends or vague "data-driven" aspirations, but Blake Burch, AI & Data Leader, reveals most remain stuck in setup mode, creating dashboards nobody uses. Team members rarely understand how their work impacts business outcomes, leading to data graveyards instead of value, with success measured b…
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Data teams often emerge from executive FOMO – chasing AI trends or vague "data-driven" aspirations, but Blake Burch, AI & Data Leader, reveals most remain stuck in setup mode, creating dashboards nobody uses. Team members rarely understand how their work impacts business outcomes, leading to data graveyards instead of value, with success measured b…
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Hugo Bowne-Anderson, Independent Data & AI Scientist, joins us to tackle why most AI applications fail to make it past the demo stage. We'll explore his concept of Evaluation-Driven Development (EDD) and how treating evaluation as a continuous process—not just a final step—can help teams escape "Proof-of-Concept Purgatory." How can we build AI appl…
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Barr Moses—co-founder and CEO of Monte Carlo—thinks we’re headed for an AI reckoning. Companies are building fast, but most are still managing data like it’s 2015. In this episode, she shares high-stakes failure stories (like a $100M schema change), explains why full-stack observability is becoming essential, and breaks down how LLM agents are alre…
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Hugo Bowne-Anderson, Independent Data & AI Scientist, joins us to tackle why most AI applications fail to make it past the demo stage. We'll explore his concept of Evaluation-Driven Development (EDD) and how treating evaluation as a continuous process—not just a final step—can help teams escape "Proof-of-Concept Purgatory." How can we build AI appl…
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What if the cost of writing code dropped to zero — but the cost of understanding it skyrocketed? In this episode, Hugo sits down with Joe Reis to unpack how AI tooling is reshaping the software development lifecycle — from experimentation and prototyping to deployment, maintainability, and everything in between. Joe is the co-author of Fundamentals…
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Hala Nelson, Professor of Mathematics and Author of "Essential Math for AI", explores how digital twin technology and AI deployments are reshaping organizational systems while challenging conventional wisdom. We will also discuss establishing a new "standard of care" in human-centered engineering and examine how these technological shifts are trans…
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What if building software felt more like composing than coding? In this episode, Hugo and Greg explore how LLMs are reshaping the way we think about software development—from deterministic programming to a more flexible, prompt-driven, and collaborative style of building. It’s not just hype or grift—it’s a real shift in how we express intent, reaso…
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Hala Nelson, Professor of Mathematics and Author of "Essential Math for AI", explores how digital twin technology and AI deployments are reshaping organizational systems while challenging conventional wisdom. We will also discuss establishing a new "standard of care" in human-centered engineering and examine how these technological shifts are trans…
  continue reading
 
Patrick Cuba, Snowflake Architect, explores the fundamental connections between Data Modeling, Data Vault, and Knowledge Graphs—revealing how these approaches all center on the same core elements: business entities, their relationships, and their historical states. Patrick unpacks why, despite the AI revolution, human expertise remains irreplaceabl…
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Patrick Cuba, Snowflake Architect, explores the fundamental connections between Data Modeling, Data Vault, and Knowledge Graphs—revealing how these approaches all center on the same core elements: business entities, their relationships, and their historical states. Patrick unpacks why, despite the AI revolution, human expertise remains irreplaceabl…
  continue reading
 
Tim O’Reilly—founder of O’Reilly Media and one of the most influential voices in tech—argues we’re not witnessing the end of programming, but the beginning of something far bigger. He draws on past computing revolutions to explore how AI is reshaping what it means to build software, why real breakthroughs come from the edge—not incumbents—and what …
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Tim and Juan meet in person with Jean-Georges Perrin for a longer-than-usual episode. Together, they unpack the real meaning behind data contracts, explaining how these agreements serve as the backbone for successful data products and the practical framework for data mesh implementation. If you want to cut through all the jargon and buzzwords and g…
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Tim and Juan meet in person with Jean-Georges Perrin for a longer-than-usual episode. Together, they unpack the real meaning behind data contracts, explaining how these agreements serve as the backbone for successful data products and the practical framework for data mesh implementation. If you want to cut through all the jargon and buzzwords and g…
  continue reading
 
Stefan Wager—Professor at Stanford and expert on causal machine learning—has worked with leading tech companies including Dropbox, Facebook, Google, and Uber. He challenges the widespread assumption that better predictions mean better decisions. Traditional machine learning excels at prediction, but is prediction really what your business needs? St…
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Frances O'Rafferty, Senior Manager at Baringa, explore sthe critical gap between data-driven aspirations and decision-making reality. While many organizations claim to be "data-driven," leaders often revert to gut instinct when making crucial decisions. We'll examine how fragmented data experiences erode confidence and how a user-centric approach t…
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Frances O'Rafferty, Senior Manager at Baringa, explore sthe critical gap between data-driven aspirations and decision-making reality. While many organizations claim to be "data-driven," leaders often revert to gut instinct when making crucial decisions. We'll examine how fragmented data experiences erode confidence and how a user-centric approach t…
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Join Juan and Tim as they welcome special guests Krystin Kim (VP of Data & Analytics at Post Holdings) and Mary Lou Pirrera (Senior Manager of Data Management and Governance at The Campbell's Company) fresh from their panel at the Gartner Data & Analytics Summit 2025. They'll have an Honest, No-BS discussion on making data catalog and governance wo…
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Peter Wang—Chief AI Officer at Anaconda and a driving force behind PyData—challenges conventional thinking about AI’s role in software development. As AI reshapes engineering, are we moving beyond writing code to orchestrating intelligence? Peter explores why companies are fixated on models instead of integration, how AI is breaking traditional sof…
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